Triple
T5867664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottingham derby |
E130435
|
entity |
| Predicate | hasHomeStadium |
P890
|
FINISHED |
| Object | Meadow Lane |
E186287
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Meadow Lane | Statement: [Nottingham derby, hasHomeStadium, Meadow Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadow Lane Context triple: [Nottingham derby, hasHomeStadium, Meadow Lane]
-
A.
Meadow Lane
chosen
Meadow Lane is a historic football stadium in Nottingham, England, best known as the long-time home ground of Notts County F.C.
-
B.
Wrights Lane
Wrights Lane is a street in the Kensington district of London, known for connecting residential areas to the busy Kensington High Street and nearby commercial and transport amenities.
-
C.
Rosemary Lane
Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
-
D.
Queen’s Lane
Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
-
E.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035c27e708190b46c707d61c78877 |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa512324819092e3a0b449cdb9ba |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 22, 2026, 3:56 p.m.